Sebastian Funk

Seb’s main interest is in using computational models in combination with infectious disease data in order to better understand and predict infectious disease dynamics. This includes developing and evaluating methods for short-term forecasting, testing the predictive value of additional data sources on pathogen biology and human behaviour, and doing all of this in order to inform public health decision making. He strongly believes that science should done openly and that there is great value in developing methods as tools that can be used by others.

Akira Endo

Akira is a JSPS research fellow who completed his PhD at LSHTM on dynamics of influenza and COVID-19. His research interests include disease spread within and across households/schools/workplaces, improving vaccine evaluation methodologies and optimal control strategies.

Hannah Choi

Hannah is a PhD student working on real-time modelling and inference of COVID-19 transmission and control. She has a background in infectious disease epidemiology and biomedical sciences. Previously, she worked in ICU surveillance at Public Health England (now the UK Health Security Agency).

Hugo Gruson

Hugo joined the team as a Research Software Engineer amidst the Covid-19 pandemic to participate in the development of the European Covid-19 Forecast Hub. He splits his time between improving user experience, ensuring the long-term maintainability of EpiForecasts projects, and automating tedious tasks.

James Munday

James’ research focuses on the impact of geographic and social structure on infectious disease transmission. He is currently working on methods to include spatial interaction and age-structured-mixing in epidemic forecasting and real-time analysis.

Katharine Sherratt

Kath is a research assistant at LSHTM and spends most of her time working on the European Hubs for Forecasting and Scenario modelling of COVID-19. Her background is in epidemiology and she has a strong interest in collaborative and interdisciplinary approaches to public health research.

Nikos Bosse

Nikos is a PhD student working on infectious disease forecasting and is interested in all things related to forecasting. As part of his work he developed crowdforecastr to compare human forecasts of COVID-19 against model-based predictions. He also has a strong interest in forecast evaluation and proper scoring rules and developed the scoringutils package.

Sam Abbott

Sam’s main interests are developing, evaluating, and applying methods for improving our understanding of infectious disease dynamics in real-time. See his personal website for more detail on his current research and interests.

Sophie Meakin

Sophie’s research interests are in the application of mathematical modelling to support preparedness and decision-making during infectious disease outbreaks. Before joining CMMID, Sophie worked for the World Health Organisation as part of the 2018-2020 North-Kivu Ebola outbreak response. Sophie received her PhD in applied mathematics from the University of Warwick in 2020.

Former team members

Alexis Robert · Flavio Finger · Joel Hellewell · Joseph Palmer · Robin Thompson